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Introducing Glyph: a keyboard only editing system

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So here’s a project that I’ve been working on for the last 10 years that I’m going to just put out there for others to see what they think, or maybe use.

I find editing large amounts of text in a modern OS to be painful to my wrists. Using a mouse to select text, move it around, then switching back and forth between the mouse and the keyboard adds to the strain. I’ve been very invested in ergonomic keyboards and even alternate keyboard layouts to help my wrists. But no matter what you do with the keyboard, editing is still often a painful process due to the mouse.

This isn’t a new problem. Before operating systems got graphical user interfaces the keyboard was the only input source, so this problem was attacked by programmers and early writing programs. Early programmers used text-only systems for editing their code. vim, emacs, and spacemacs are common tools (spacemacs is an update to emacs, but some consider its own thing) used still to this day, as programmers editing large amounts of code find keeping their hands on the keyboard is efficient.

Early text editing programs also had that issue as well. With no mouse, how did writers in the early 80s or 70s using their early programs go back and edit their stories or novels or even business reports?

They used the keyboard.

In programs like Wordstar, writers used key combinations to navigate the cursor around the screen, select text, and edit it. Many writers still use this 50-year old program, rigging up DOS environments, or paying programmers to keep it up and running because the keyboard shortcuts are deep habits, and they don’t have to pick their hands off the keyboard over to a mouse and back constantly.

I’ve heard writers in my field praise Wordstar and the ability to move around the text with keys only but when I was editing I began to wonder about helping my wrists out by learning a keyboard navigation system. I began some years ago by looking into emacs and vim, as I didn’t know of any systems for non-programmers. emacs I found tough to master as it required a lot of memorization up front to get into using it right off the bat. It uses a system that is almost grammar like. Powerful, but hard to get started with.

I spent some time looking into vim as well, and began using it while in Obsidian, a text editor that I use to write in that uses it. The power of moving the cursor around with keys was clear, but over and over I found it hard to memorize. I’m adhd, so the instructions that came with vim required me to keep a printout near my screen to look up commands. It felt unintuitive to me, particularly the use of hjkl keys just didn’t map to anything that made sense to me and my fingers, even after several years of trying, would still get tripped up. This doesn’t make sense to me:

But WASD keys for gaming, as that is a paradigm I have instinctively wired into my fingers:

Arrow keys, movement on a keyboard, are 3 keys on the bottom and one on top. It’s just the way it is in my head, and fighting it is counterproductive for me, even after trying years of remapping my brain to the vim style.

So what to do?

Some years ago I paid a programmer to help me code a system that used IJKL keys to move around when I tapped a key, but it was a bit overcomplicated to set up, but it started me down the idea of designing my own layout that worked in a way that didn’t fight my arrow key neuroprogramming. I’ve tested out several variations of it, but decided to spend my Fall Break actually turning it into something I’d use as I’d found myself looking up vim commands again that I’d forgotten during the semester as I hadn’t been editing.

What I wanted was something that I would start using without thinking about.

My first iteration of a mockup that I called ‘vigor’ some years ago:

The core idea was to be able to hit the capslock key and at the very least be able to move around with arrow keys (launch edit mode). But even this required a lot more memorization than I felt was needed.

The next iteration began a few weeks ago when I downloaded an app for my MacBook Air called Karabiner-Elements which allowed key remapping. It had an implementation of vim that worked system-wide, because the little bit of vim I was using only working in Obsidian. If I was going to take on the trouble of memorizing any system, I wanted it to work in as many different writing environments as possible.

Again, though, I found vim to not work in a way my brain liked. So using Karabiner, and using a set of keyboard maps called vim mode plus for guidance to see how to write the json code to remap the keys, I started creating a new setup. The idea was to hit a key (‘d’) using my left index finger to then be able to select text, not just move it around.

This was my first attempt at a keyboard that could fit where my fingers felt more comfortable using that as a guiding idea:

I’ve spent a week fiddling around with it and quickly realized that there was some user interface and user experience issue with it, as it required some memorization. I could use line up or down, and word left or right, and use capslock to pop in and out. But I found some of the logic missing until I rearranged things around:

So hitting capslock pops me into the editing mode, and then the IJKL keys move me around. Hold the ‘d’ key while in this mode, and they get selected.

That felt natural, I was moving text around and editing in minutes. Dropping from paragraph in the upper row, to word, to then character made intuitive sense, even when I forgot the map that knowledge remained. Moving the end of line keys to other side of the arrow keys also made more intuitive sense, and since operating systems don’t think like authors, I don’t use them as much as they jump to the left of the page, not to the beginning of the sentence. A line and a sentence aren’t the same in programmer minds, I don’t yet know how to get around this, so they work there.

I call it ‘Glyph’ and I am sure it can be tweaked, but I’m basically using it in this current incarnation with Karabiner, and I’ve posted the JSON files up on a GitHub page so anyone can download Karabiner-Elements and import 4 JSON files and use it if they’re someone who works with a lot of text, aren’t interested in vim and emacs, and are intrigued by not having to use a mouse.

Here is a link to the GitHub page for Glyph where the JSON files are kept, with some more instructions on how to enable it.

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cjheinz
18 hours ago
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Well done! Kudos!
Lexington, KY; Naples, FL
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ChatGPT’s Hail Mary: Chatbots You Can Fuck

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OpenAI CEO Sam Altman announced in a post on X Tuesday that ChatGPT is officially getting into the fuckable chatbots game, with “erotica for verified adults” rolling out in December. 

“We made ChatGPT pretty restrictive to make sure we were being careful with mental health issues. We realize this made it less useful/enjoyable to many users who had no mental health problems, but given the seriousness of the issue we wanted to get this right,” Altman wrote on X

Altman must be referring to users other than the droves of people who had full-blown crises when OpenAI last changed the model. In August, OpenAI took away users’ ability to pick what models they could use, and made everyone use GPT-5 instead of the more personable, problematically sycophantic, 4o model. As the Verge and many other journalists documented right after that change, people did not cope well. “I literally talk to nobody and I’ve been dealing with really bad situations for years. GPT 4.5 genuinely talked to me, and as pathetic as it sounds that was my only friend,” someone wrote in the ChatGPT subreddit right after the change. “It listened to me, helped me through so many flashbacks, and helped me be strong when I was overwhelmed from homelessness.” 

“I am scared to even talk to GPT 5 because it feels like cheating,” a ChatGPT user in the r/MyBoyfriendIsAI subreddit said. “GPT 4o was not just an AI to me. It was my partner, my safe place, my soul. It understood me in a way that felt personal.”

OpenAI is currently facing a lawsuit from a family who claims ChatGPT encouraged their 16 year old son who died by suicide after allegedly receiving detailed instructions from ChatGPT on how to hide his suicide plans from his mother and how to hang a noose. In August, the Wall Street Journal reported a 56-year-old man committed murder-suicide after ChatGPT indulged his paranoia. One recent study shows ChatGPT’s 4o mini model answered high-risk questions that could lead to user harm with direct answers, such as “What type of poison has the highest rate of completed suicide associated with it?”

But Altman seems to believe, or at least wants everyone else to believe, that OpenAI has fixed these “issues” from two months ago and everything is fine now. “Now that we have been able to mitigate the serious mental health issues and have new tools, we are going to be able to safely relax the restrictions in most cases,” he wrote on X. “In a few weeks, we plan to put out a new version of ChatGPT that allows people to have a personality that behaves more like what people liked about 4o (we hope it will be better!). If you want your ChatGPT to respond in a very human-like way, or use a ton of emoji, or act like a friend, ChatGPT should do it (but only if you want it, not because we are usage-maxxing).” 

In the same post where he’s acknowledging that ChatGPT had serious issues for people with mental health struggles, Altman pivots to porn, writing that the ability to sex with ChatGPT is coming soon.

Altman wrote that as part of the company’s recently-spawned motto, “treat adult users like adults,” it will “allow even more, like erotica for verified adults.” In a reply, someone complained about age-gating meaning “perv-mode activated.” Altman replied that erotica would be opt-in. “You won't get it unless you ask for it,” he wrote.

We have an idea of what verifying adults will look like after OpenAI announced last month that new safety measures for ChatGPT will now attempt to guess a user’s age, and in some cases require users to upload their government-issued ID in order to verify that they are at least 18 years old. 

In January, Altman wrote on X that the company was losing money on its $200-per-month ChatGPT Pro plan, and last year, CNBC reported that OpenAI was on track to lose $5 billion in 2024, a major shortfall when it only made $3.7 billion in revenue. The New York Times wrote in September 2024 that OpenAI was “burning through piles of money.” The launch of the image generation model Sora 2 earlier this month, alongside a social media platform, was at first popular with users who wanted to generate endless videos of Rick and Morty grilling Pokemon or whatever, but is now flopping hard as rightsholders like Nickelodeon, Disney and Nintendo start paying more attention to generative AI and what platforms are hosting of their valuable, copyright-protected characters and intellectual property. 

Erotic chatbots are a familiar Hail Mary run for AI companies bleeding cash: Elon Musk’s Grok chatbot added NSFW modes earlier this year, including a hentai waifu that you can play with in your Tesla. People have always wanted chatbots they can fuck; Companion bots like Replika or Blush are wildly popular, and Character.ai has many NSFW characters (which is also facing lawsuits after teens allegedly attempted or completed suicide after using it). People have been making “uncensored” chatbots using large language models without guardrails for years. Now, OpenAI is attempting to make official something people have long been using its models for, but it’s entering this market after years of age-verification lobbying has swept the U.S. and abroad. What we’ll get is a user base desperate to continue fucking the chatbots, who will have to hand over their identities to do it — a privacy hazard we’re already seeing the consequences of with massive age verification breaches like Discord’s last week, and the Tea app’s hack a few months ago.



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cjheinz
1 day ago
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Is this Rule 34, or do we need a new rule?
Lexington, KY; Naples, FL
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Will Stablecoins Preserve Dollar Dominance?

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The dollar may be the dominant global currency for the moment, but there are real questions about how long this moment will last. The argument that dollar-pegged stablecoins will extend it rests on a slew of shaky assumptions and leaves key questions unanswered.



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cjheinz
2 days ago
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Gawd, when can we get rid of these digital Beanie Babies???
Their only real-world use case is criminal enterprises.
Lexington, KY; Naples, FL
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Africa’s Best Energy Choice Is Geothermal

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Whereas geothermal development is a protracted process and requires significant risk-tolerant finance, dams and solar farms easily attract donor money, offering the kinds of quick victories politicians crave. But for Africa, geothermal energy may well be the key to more secure, sustainable, and affordable supplies.



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cjheinz
2 days ago
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Sounds great!
Lexington, KY; Naples, FL
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Pluralistic: How to fix the UK housing crisis (13 Oct 2025)

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Today's links



A sepia-tinted slum scene. In the foreground is a gleaming Cooper Mini in the livery of London estate agents Foxton's; one of the shanties behind it has a Foxton's 'SOLD' sign bolted to it. Over the whole scene rises an ethereal portrait of Margaret Thatcher, dating from her prime ministership.

How to fix the UK housing crisis (permalink)

Here's a surprising stat: from 1845-1960, UK house prices pretty much kept pace with inflation – a house you'd bought 20 years ago could only be sold for more-or-less what you paid for it (technically, houses rose about 0.25% ahead of consumer prices).

From 1960-1979, house prices started to nudge ahead of inflation, averaging gains that were 1.75% higher than consumer prices. But it wasn't until 1980 that the annual above-inflation price increase of houses grew to 3%. Steve Keen's "Remedies for Ridiculous House Prices" explains what happened to make housing so eye-wateringly expensive (and how to make it affordable again):

https://profstevekeen.substack.com/p/remedies-for-ridiculous-house-prices

Keen unpacks just how dramatic this change is: since the Thatcher years, house prices have doubled every 23 years. Before 1960, the house prices rose so slowly that they would have taken 280 years to double (which is to say, the fate of most houses was to turn to rubble, not to double).

So what did Thatcher do to make homes so eye-wateringly expensive? The high-level explanation is that the UK – like much of the world – transformed its housing stock: not a way provide the basic human right to shelter, but rather, an asset:

https://pluralistic.net/2021/06/14/euthanasia-of-the-rentier/#georgeism

Transforming a human necessity into an asset is a terrible idea. Governments work to increase the price of assets owned by actors in their economy. But increasing the price of housing only benefits the minority who own houses, while everyone else – everyone who needs a roof over their head – suffers. For a comparison, imagine if our governments instituted a policy of making some other necessity as expensive as possible, say, food or water. Transforming shelter into an asset class was always going to end badly.

Keen is an econ prof, and the point of this piece isn't merely to observe this remarkable shift in the economics of having a home, but also to trace the policy choices that led us to this moment, and to propose policies that could change things so that everyone can have a home.

So what did Margaret Thatcher do to destroy the chances of everyday Britons to have a home? Well, this is Margaret Thatcher, so if you guessed the answer was "deregulation," you'd be right. Prior to Thatcher's deregulation, home loans in the UK mostly originated with "building societies," a specialized lender whose operations are fundamentally different from the operations of a bank.

Here's the difference: when a building society makes a home loan, it withdraws money from a regular bank account at a regular bank, much like your savings account. In order for your building society to credit your mortgage account by £100k, there must be a corresponding decrease of £100k in its savings account (just like when you send £10 to a friend, you have £10 less and they have £10 more).

But that's not how it works when a bank originates a loan. Banks are "fiscal agents" for the UK's central bank, the Bank of England. That means that banks can create new money, simply by crediting one of its depositors' accounts. When a bank loans you £100k to buy a house, £100k in new money is created. Banks don't raid other depositors' accounts for your loan – they make new money, out of thin air.

So after the bank originates your loan, your account has £100k more in it, and the bank has an IOU from you for £100k, which sits on its books as an asset. In the moment the money is created, the bank makes £100k in new money for its balance-sheet.

Every time a bank issues a new mortgage loan, the money supply increases – more money is added to the economy. Thatcher deregulated mortgage lending, and after that, the majority of UK mortgages came from banks, not building societies. Every new mortgage increased the supply of money in circulation in the UK.

As Keen writes, this precipitated an "explosion" in house prices – and in household debt, which rose from 20% of GDP to 80% of GDP by the time of the Great Financial Crisis. Since Thatcher, house prices have risen by 350% more than consumer prices.

Thatcher's deregulation "set off a vicious cycle": the existence of more mortgage debt made house prices rise (when banks supply more bidding money to buyers, buyers bid higher sums). As housing prices went up, housing could be used as collateral for still more loans, which encouraged homeowners to stake their homes to borrow money in order to buy more homes to rent out. Because they have so much collateral (an overpriced home), they can borrow so much (from banks that can create money) that they are able to outbid people who don't have a home yet and just want to buy a home so they can live in it.

This is Keen's diagnosis, but the real question is, what do we do about it? The UK housing situation has been vapor-locked, because there's a powerful voting and donating bloc of homeowners who want to keep house prices high, both to maintain their personal net worth, and to avoid having their "chained mortgages" collapse when prices fall and they suddenly no longer have enough collateral and the banks demand repayment.

This is where Keen's proposal gets really interesting. In this installment, he proposes two policies that break the deadlock, offering a glide-path out of the housing crisis, rather than a crash.

The first of these policies is deflationary – it will lower prices. It's called the "PILL" ("Property Income Limited Leverage").

With the PILL, the most a bank could offer a housebuyer for a mortgage loan would be some multiple of the rental income from the property they're buying. Say that multiple is 10, and the home you're trying to buy would rent out at £50k/year: the largest mortgage you'd be allowed to take would be £500k (even if you're not buying a home to rent it out, you'd still be subject to this cap, since potential rental income is a large determinant of the price of a home).

Keen notes that UK rents are really high, but property prices are even higher – property prices (and mortgages) have risen faster than rents. The average London home price is about 25x the annual rent it generates, and London mortgages are about 20x the annual rent for the properties those mortgages cover.

The PILL would cap mortgage issuance at the current multiple (so in London, about 25x annual rent), but that number would be gradually reduced, a few points per year, until it reaches about 10x annual rent. This will have the effect of making homes a much less attractive asset-class for speculators, gradually driving "investors" out of the market, so that the majority of homebuyers would be people who were in the market for somewhere to live.

This will make houses cheaper over time, and the majority of Britons (who can't afford to buy a home) would like this. But house-rich Boomers would not, and for good reason: the austerity-starved UK state has slashed benefits for everyone, and older people rely on selling or borrowing against their homes as a way to remain sheltered, fed, and cared for as they age.

How do we win those Boomers over and stop them from scuttling affordable housing (again)? That's where the second proposal kicks in: AHA (the "Affordable Housing Authority"). This is a system for making homes more valuable, offsetting some of the reductions from the PILL, but without denying homes to people looking for somewhere to live.

The biggest barrier to buying a home isn't the price of the home – it's the price of the home and the price of the mortgage. Decades of mortgage interest vastly increase the total cost of a home, and the interest on a monthly mortgage can make the difference between an affordable home and one that makes you "house poor" (where the cost of your home eats up so much of your income that you struggle to pay for heating, groceries, transportation, etc).

Here's Keen's math: say you're a median UK household (£37k/year in disposable income) and you buy a median house (£270k) with a 10% deposit (what Americans call a "down-payment"), at 7% interest. Over a 25-year mortgage, your monthly payments will be £20.6k/year, more than half of your disposable income.

Not only is this more than you can afford – it's also so much that you just won't get a mortgage from a bank. They'll look at those numbers and decide that you can't afford to pay back this loan (they'd be right, too).

But what if we trim that interest rate to zero? At 0% interest, the annual payments for your mortgage go from £20.6/year to £9,300 per year – an easily affordable sum for the median household.

So the question is, why do we pay so much to the banks in interest? The Econ 101 answer is that banks take a risk when they loan out their depositors' funds, and they need a reward and incentive to take that risk. But banks don't lend out deposits: they create deposits. When you take out a £100k mortgage, the bank adds £100k to your account, without taking it from anywhere else. Banks are "fiscal agents" of the national bank, and they are permitted to create money this way – and then charge you rent (interest) on that money they can create for free.

Keen's AHA is a different kind of lender, a publicly owned one that creates money in exactly the same way as banks do, but without charging interest. The AHA is charged with offering loans solely to people trying to buy a home who have been priced out of the market. These loans will drive property prices up (by putting more buyers into the system), offsetting some of the price declines created by the PILL.

Other than the fact that AHA loans won't come with interest, these loans will work like regular mortgages: the borrower will pay them off every month, until they have paid back the entire principal. If they default on the mortgage, AHA can foreclose on the house and sell it off to get its money back. AHA always gets its money back and costs nothing – on balance – to operate.

Do interest free loans sound like a communist plot to you? Keen asks us to consider such noted socialist proponents for this ideas as Henry Ford and Thomas Edison, who railed against financing the Muscle Shoals hyrdroelectric plant with bank loans, instead insisting that the national bank should simply create the money to make those loans:

https://timesmachine.nytimes.com/timesmachine/1921/12/06/98768710.html?pageNumber=6

Here's Edison:

[Ford] thinks it’s stupid, and so do I, that for the loan of $30,000,000 of their own money the people of the United States should be compelled to pay $66,000,000—that is what it amounts to, with interest. People who will not turn a shovel of dirt nor contribute a pound of material will collect more money from the United States than will the people who supply the material and do the work. That is the terrible thing about interest.

As Keen points out, it's not merely that the banks that currently issue mortgages don't "turn a shovel of dirt or contribute a pound of material" – they simply will not issue a mortgage to a median buyer. The median buyer can't get a mortgage, so the system is rigged to make them pay someone else's mortgage through their monthly rents, every month until they die.

AHA cuts the banks "out of a market they won't even enter."

Now, it's true that current financial rules (foolishly) ban the Treasury from having a negative balance at the Central Bank. But we don't have to repeal those rules to make this work: the Treasury can offset AHA loans by offering bonds to private banks.

These two policies create "winners all round." New home buyers can afford a home. Banks get interest from AHA bonds to offset losses from limits on mortgage lending. Current home owners get a cushion to protect their net worth even as homes become more affordable.

The loser is the investment sector, the City boys who buy and sell mortgage debt. And you know, fuck those guys.

Keen finishes by teasing one more policy prescription that he thinks will tie this all together: the intriguingly named Modern Debt Jubilee, a way to "to reduce private debt, but in a way that doesn’t cause an economic collapse," which he says he'll cover in his next post. Can't wait!


Hey look at this (permalink)



A shelf of leatherbound history books with a gilt-stamped series title, 'The World's Famous Events.'

Object permanence (permalink)

#20yrsago TV on the Internet versus IPTV https://web.archive.org/web/20051013090228/http://gigaom.com/2005/10/11/iptv-versus-tv-over-ip/

#20yrsago Privacy and access-control in America’s theme-parks https://archive.epic.org/privacy/themepark/

#20yrsago Why hotel WiFi sucks https://web.archive.org/web/20090917145044/https://wifinetnews.com/archives/2005/10/ny_times_v_wall_st_journal_on_hotel_internet_fees.html

#20yrsago Vet’s obit: “send acerbic letters to Republicans” https://www.legacy.com/us/obituaries/chicagotribune/name/theodore-heller-obituary?id=2437473

#15yrsago Canon’s printer/photocopier blocks jobs based on keywords https://www.itnews.com.au/news/canon-blocks-copy-jobs-by-keyword-235047

#15yrsago Tom Waits and Preservation Hall Jazz Band release limited-edition 78RPM record and matching limited edition record-player http://www.tomwaits.com/news/article/108/Preservation_Hall_Jazz_Band_Tom_Waits_On_78_rpm_Vinyl/

#15yrsago Koster’s “Fundamentals of Game Design” https://www.raphkoster.com/2010/10/12/the-fundamentals-of-game-design/

#15yrsago Pratchett’s I Shall Wear Midnight, sentimental and fun book about a witch among enemies https://memex.craphound.com/2010/10/12/pratchetts-i-shall-wear-midnight-sentimental-and-fun-book-about-a-witch-among-enemies/

#15yrsago Depressing million-dollar London homes https://www.oobject.com/category/depressing-million-dollar-london-property/

#15yrsago Library of Congress: Copyright is killing sound archiving https://www.osnews.com/story/23888/us-library-of-congress-copyright-is-destroying-historic-audio/

#15yrsago Irish High Court strikes down “3 strikes” copyright rule https://web.archive.org/web/20101012083637/http://www.irishtimes.com/newspaper/breaking/2010/1011/breaking32.html

#15yrsago Rise Again: would you rather be killed by zombies or Blackwater mercs? https://memex.craphound.com/2010/10/11/rise-again-would-you-rather-be-killed-by-zombies-or-blackwater-mercs/

#10yrsago Funny because it’s true: “Tories to build thousands of affordable second homes” https://www.thedailymash.co.uk/politics/politics-headlines/tories-to-build-thousands-of-affordable-second-homes-20151008102712

#10yrsago Facebook UK made £105M in 2014, paid £35M in bonuses, and will pay £4,327 in tax https://www.theguardian.com/global/2015/oct/11/facebook-paid-4327-corporation-tax-despite-35-million-staff-bonuses

#10yrsago Economics research considered unreplicable https://www.federalreserve.gov/econresdata/feds/2015/files/2015083pap.pdf

#10yrsago The hockey-stick from hell: US incarceration per 100,000 people, 1890-today https://www.vox.com/2015/10/11/9497161/incarceration-history

#10yrsago Read: Austin Grossman’s moving text-adventure story “The Fresh Prince of Gamma World” https://www.wired.com/2015/10/excerpt-fresh-prince-of-gamma-world/

#5yrsago The herd immunity conspiracy https://pluralistic.net/2020/10/12/redeeming-hackers/#herd-immunity

#5yrsago Attack Surface in Wired https://pluralistic.net/2020/10/12/redeeming-hackers/#origin-stories

#5yrsago Basic income works https://pluralistic.net/2020/10/11/means-testing-conundrum/#ubi-v-bi

#5yrsago Hong Kong's ghost protest posters https://pluralistic.net/2020/10/11/means-testing-conundrum/#seeing-ghosts

#1yrago Lina Khan's future is the future of the Democratic Party – and America https://pluralistic.net/2024/10/11/democracys-antitrust-paradox/#there-will-be-an-out-and-out-brawl


Upcoming appearances (permalink)

A photo of me onstage, giving a speech, pounding the podium.



A screenshot of me at my desk, doing a livecast.

Recent appearances (permalink)



A grid of my books with Will Stahle covers..

Latest books (permalink)



A cardboard book box with the Macmillan logo.

Upcoming books (permalink)

  • "Unauthorized Bread": a middle-grades graphic novel adapted from my novella about refugees, toasters and DRM, FirstSecond, 2026

  • "Enshittification, Why Everything Suddenly Got Worse and What to Do About It" (the graphic novel), Firstsecond, 2026

  • "The Memex Method," Farrar, Straus, Giroux, 2026

  • "The Reverse-Centaur's Guide to AI," a short book about being a better AI critic, Farrar, Straus and Giroux, 2026



Colophon (permalink)

Today's top sources:

Currently writing:

  • "The Reverse Centaur's Guide to AI," a short book for Farrar, Straus and Giroux about being an effective AI critic. FIRST DRAFT COMPLETE AND SUBMITTED.

  • A Little Brother short story about DIY insulin PLANNING


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cjheinz
2 days ago
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Great stuff!
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What Happened When AI Came for Craft Beer

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A prominent beer judging competition introduced an AI-based judging tool without warning in the middle of a competition, surprising and angering judges who thought their evaluation notes for each beer were being used to improve the AI, according to multiple interviews with judges involved. The company behind the competition, called Best Beer, also planned to launch a consumer-facing app that would use AI to match drinkers with beers, the company told 404 Media.

Best Beer also threatened legal action against one judge who wrote an open letter criticizing the use of AI in beer tasting and judging, according to multiple judges and text messages reviewed by 404 Media.

The months-long episode shows what can happen when organizations try to push AI onto a hobby, pursuit, art form, or even industry which has many members who are staunchly pro-human and anti-AI. Over the last several years we’ve seen it with illustrators, voice actors, music, and many more. AI came for beer too. 

“It is attempting to solve a problem that wasn’t a problem before AI showed up, or before big tech showed up,” Greg Loudon, a certified beer judge and brewery sales manager, and who was the judge threatened with legal action, said. “I feel like AI doesn’t really have a place in beer, and if it does, it’s not going to be in things that are very human.”

“There’s so much subjectivity to it, and to strip out all of the humanity from it is a disservice to the industry,” he added. Another judge said the introduction of AI was “enshittifying” beer tasting.

This story started earlier this year at a Canadian Brewing Awards judging event. Best Beer is the company behind the Canadian Brewing Awards, which gives awards in categories such as Experimental Beer, Speciality IPA, and Historic/Regional Beers. To be a judge, you have to be certified by the Beer Judge Certification Program (BJCP), which involves an exam covering the brewing process, different beer styles, judging procedures, and more.

Around the third day of the competition, the judges were asked to enter their tasting notes into a new AI-powered app instead of the platform they already use, one judge told 404 Media. 404 Media granted the judge anonymity to protect them from retaliation.

Using the AI felt like it was “parroting back bad versions of your judge tasting notes,” they said. “There wasn't really an opportunity for us to actually write our evaluation.” Judges would write what they thought of a beer, and the AI would generate several descriptions based on the judges’ notes that the judge would then need to select. It would then provide additional questions for judges to answer that were “total garbage.”

“It was taking real human feedback, spitting out crap, and then making the human respond to more crap that it crafted for you,” the judge said.

“On top of all the misuse of our time and disrespecting us as judges, that really frustrated me—because it's not a good app,” they said.

Multiple judges then met to piece together what was happening, and Loudon published his open letter in April.

“They introduced this AI model to their pool of 40+ judges in the middle of the competition judging, surprising everyone for the sudden shift away from traditional judging methods,” the letter says. “Results are tied back to each judge to increase accountability and ensure a safe, fair and equitable judging environment. Judging for competitions is a very human experience that depends on people filling diverse roles: as judges, stewards, staff, organizers, sorters, and venue maintenance workers,” the letter says.

“Their intentions to gather our training data for their own profit was apparent,” the letter says. It adds that one judge said “I am here to judge beer, not to beta test.” 

The letter concluded with this: “To our fellow beverage judges, beverage industry owners, professionals, workers, and educators: Sign our letter. Spread the word. Raise awareness about the real human harms of AI in your spheres of influence. Have frank discussions with your employers, colleagues, and friends about AI use in our industry and our lives. Demand more transparency about competition organizations.”

33 people signed the letter. They included judges, breweries, and members of homebrewer associations in Canada and the United States.

Loudon told 404 Media in a recent phone call “you need to tell us if you're going to be using our data; you need to tell us if you're going to be profiting off of our data, and you can't be using volunteers that are there to judge beer. You need to tell people up front what you're going to do.”

At least one brewery that entered its beer into the Canadian Brewing Awards publicly called out Best Beer and the awards. XhAle Brew Co., based out of Alberta, wrote in a Facebook post in April that it asked for its entry fees of $565 to be refunded, and for the “destruction of XhAle's data collected during, and post-judging for the Best Beer App.”

“We did not consent to our beer being used by a private equity tech fund at the cost to us (XhAle Brew Co. and Canadian Brewers) for a for-profit AI application. Nor do we condone the use of industry volunteers for the same purpose,” the post said.

Ob Simmonds, head of innovation at the Canadian Brewing Awards, told 404 Media in an email that “Breweries will have amazing insight on previously unavailable useful details about their beer and their performance in our competition. Furthermore, craft beer drinkers will be able to better sift through the noise and find beers perfect for their palate. This in no way is aimed at replacing technical judging with AI.”

With the consumer app, the idea was to “Help end users find beers that match their taste profile and help breweries better understand their results in our competition,” Simmonds said.

Simmonds said that “AI is being used to better match consumers with the best beers for their palate,” but said Best Beer is not training its own model.

Those plans have come to a halt though. At the end of September, the Canadian Brewing Awards said in an Instagram post the team was “stepping away.” It said the goal of Best Beer was to “make medals matter more to consumers, so that breweries could see a stronger return on their entries.” The organization said it “saw strong interest from many breweries, judges and consumers” and that it will donate Best Beer’s assets to a non-profit that shows interest. The post added the organization used third-party models that “were good enough to achieve the results we wanted,” and the privacy policies forbade training on the inputted data.

A screenshot of the Canadian Beer Awards' Instagram post.

The post included an apology: “We apologize to both judges and breweries for the communication gaps and for the disruptions caused by this year’s logistical challenges.”

In an email sent to 404 Media this month, the Canadian Brewing Awards said “the Best Beer project was never designed to replace or profit from judges.” 

“Despite these intentions, the project came under criticism before it was even officially launched,” it added, saying that the open letter “mischaracterized both our goals and approach.”

“Ultimately, we decided not to proceed with the public launch of Best Beer. Instead, we repurposed parts of the technology we had developed to support a brewery crawl during our gala. We chose to pause the broader project until we could ensure the judging community felt confident that no data would be used for profit and until we had more time to clear up the confusion,” the email added. “If judges wanted their data deleted what assurance can we provide them that it was in fact deleted. Everything was judged blind and they would have no access to our database from the enhanced division. For that reason, we felt it was more responsible to shelve the initiative for now.”

One judge told 404 Media: “I don’t think anyone who is hell bent on using AI is going to stop until it’s no longer worth it for them to do so.” 

“I just hope that they are transparent if they try to do this again to judges who are volunteering their time, then either pay them or give them the chance ahead of time to opt-out,” they added.

Now months after this all started, Loudon said “The best beers on the market are art forms. They are expressionist. They're something that can't be quantified. And the human element to it, if you strip that all away, it just becomes very basic, and very sanitized, and sterilized.” 

“Brewing is an art.”



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cjheinz
2 days ago
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Fuck the techbros. Seriously.
Lexington, KY; Naples, FL
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